Data Deluge

All posts tagged Data Deluge

Ten inventions that we contributed from NIMS, Japan and would consolidate in the next 10 years (2016-2026)

Published September 11, 2016 by anirbanbandyo
  1. Information Theory:          A new information theory. FIT or Fractal Information Theory. This is a new way of computing or decision-making by fractal logic gate, or fractal cavity resonator. For this purpose we proposed Fractal tape like Turing tape and Fractom machine. We often use nested cycle metric to generate fundamental geometric constants.
  2. Mechanics:           We have been developing a new generic version of quantum mechanics, FM or Fractal Mechanics, We conceptualized a new fractal harmonic oscillator alternative to QFT
  3. Language:         We have been developing a new geometric musical language (GML) and constructed Continued Fraction Geometric Alzebra (CFGA) and Geometric musical calculator (GMC).
  4. Human brain model:          We develop fractal cavity resonator model of the human brain, (FCR-Brain) and Frequency Wheel of prime model (FWPM) for any biological machine. We develop cavity math for protein design for life forms. Nested Rhythm map of the Human brain (NRM-Brain). We discovered ferroelectric, piezoelectric & pyroelectric properties of microtubule and every protein, we have also discovered that protein has electromagnetic resonance, Universal protein circuit model (UPCM).
  5. Geometric number system theory:             We construct and information version for developing the theory of everything, and a theory of consciousness we call it Time cycle universe theory (TCU), this is not like GUT, ours is a set of integrated mathematical constructs and protocols that would help in the understanding the universe and or consciousness. For example relating e, pi, phi with all fundamental constants, frequency wheel of primes, ordered factor etc.
  6. Fourth circuit element:            We invent fourth circuit element, Hinductor
  7. Thermal energy harvesting machines:           We invent artificial life forms, kT driven thermal nanobots, Thermo Electro mechanical system (TEMS).
  8. Musiceutical nanobots:            We have developed musiceuticals, vibration based medicines, Nano Brain. Main focused diseases have been cancer and alzheimers.
  9. Fractal chemical kinetics and condensation:          We have developed a new kind of multi-kinetic synthesis, we invent a new class of condensation beyond Froelich condensation, Fractal condensation
  10. Brain jelly:             We invented organic jelly that replicates biological rhythm like information processing, Brain jelly. We invent world’s smallest neural network. Multilevel switch. Fractal beating like quantum beating for nested beating to be used to create fractal cavity resonator for brain jelly.


Why existing information theory EIT would fail to resolve the data deluge problem?

Published August 9, 2016 by anirbanbandyo

Information if considered as “bits” or “Qubits” contains no information, this is a reality.

10 reasons why Existing Information Theory, EIT though applied in Classical and Quantum can never solve the data deluge problem.

(1) EIT discretizes nature, losing most of its information; user sees what it wants to see, not what the system is, then imagine a theory, try to rebuild the natural system by adjusting that imagination and glorify the equation that fits the observation.

(2) EIT rejects nature’s original information structure, consolidates a faith that everything that happens in nature is an output of a series of events happening one after another. Nature is not sequential, not a circuit, adding many parallel lines do not mimic nature’s information structure.

(3) EIT isolates the concept information and structure, as if information is a property of a structure.

(4) EIT endorses information as universal truth. Though Quantum information theory explores the phase space, sensed information is always considered as real and factual truth. Note that phase is always unseen part in an information.

(5) EIT practices intelligence as mysterious real function: match output and input by any means, out-of-blue senseless functions are endorsed as key to nature (e.g. cancer cell growth = radioactivity).

(6) EIT believes hierarchical processing means connection between logic-less mysterious functions: “deep learning” means keeping several mysterious layers between input and output, none makes sense, but better fits observation.

(7) EIT believes randomness leads to creativity: creating something new does not mean making an unpredictable choice, use of randomness fools human sense.

(8) EIT endorses imagination of every single outcome and encodes solution: Self-taught software (STS) is a mere extrapolation of outcomes; extrapolation is not prediction.

(9) EIT believes in making decision by reduction of choices:

(10) EIT believes speed and amount of resources can solve data deluge & everything: The quest for better computing is faster speed and more memory/power.